I am a data scientist and researcher from Canada working on healthcare solutions. I have prior domain experience in cancer research, dietary intake estimation, fraud detection, and recommender systems using AI, ML, computer vision, and LLMs.
Cancer-Net BCa
An open-source initiative for breast cancer treatment planning and grade classification with deep learning models using synthetic correlated diffusion imaging
Cancer-Net PCa
An open-source initiative for prostate cancer segmentation and clinical significance delineation using MRI images, computer vision and generative AI models
Cancer-Net SCa
An open-source initiative for skin cancer that leverages attention in deep learning for skin cancer detection from images
NutritionVerse
An open-source initiative to accelerate machine learning for dietary sensing containing 3D model rendering and optimization along with synthetic image generation and fine-tuning of dietary intake estimation computer vision models
